What do you see? Understanding perceptions of police use of force videos as a function of the camera perspective
Bibliographic record
Abstract
Some research suggests that video-recorded police incidents may be subject to a camera perspective bias. This study examined whether the camera angle of a recorded police use of force encounter influenced interpretation of the video. Participants (n = 330) viewed a video-recorded simulated use of force scenario in one of four camera angle conditions (body worn camera, bystander camera, security camera, all three camera angles), and then rated the conduct of the police officer and the subject. Participants' attitudes towards the police and legal system were also examined. Results indicated that camera angle did not directly impact viewers' judgment of the scenario, but pre-existing biases about the police guided their interpretations of certain camera angles. Importantly, however, this was not the case for those who viewed the body worn camera angle. These results help us understand the implications of relying on video recordings of police incidents.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".